Cartography and Geographic Information Systems at the State University of New York at Buffalo

1991 ◽  
Vol 18 (3) ◽  
pp. 198-200
Author(s):  
David M. Mark ◽  
Hugh W. Calkins
Keyword(s):  
New York ◽  
Information Systems ◽  
Geographic Information Systems ◽  
Geographic Information ◽  
The State ◽  
State University

scholarly journals Integrating Drones into a Natural-Resource Curriculum at Stephen F. Austin State University

2019 ◽  
Vol 117 (4) ◽  
pp. 398-405
Author(s):  
Daniel R Unger ◽  
David L Kulhavy ◽  
I-Kuai Hung ◽  
Yanli Zhang ◽  
Pat Stephens Williams
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Natural Resource ◽  
Geographic Information ◽  
Academic Experience ◽  
State University ◽  
Decisionmaking Process

AbstractFaculty within the Arthur Temple College of Forestry and Agriculture (ATCOFA) at Stephen F. Austin State University in Nacogdoches, Texas are integrating drone technology into their curriculum to introduce students to the use of high-end technology within a natural-resource-based decisionmaking process. Drones are currently being integrated across the curriculum within ATCOFA, including 10 geographic information systems (GIS) courses for students pursuing the B.S. in Spatial Science and within six non-GIS specific courses for students pursuing the B.S. in Forestry. Results indicate that drone technology can be an effective tool in enhancing a student’s academic experience and provides students with a skill set required for future natural-resource professionals.

Optimization of Multiple-Route Feeder Bus Service: Application of Geographic Information Systems

2003 ◽  
Vol 1857 (1) ◽  
pp. 56-64 ◽  
Author(s):  
Steven I-Jy Chien ◽  
Feng-Ming Tsai ◽  
Edwin Hou
Keyword(s):  
New York ◽  
New York City ◽  
Information Systems ◽  
Geographic Information Systems ◽  
York City ◽  
Geographic Information ◽  
Service Area ◽  
Street Network ◽  
Transit System ◽  
Demand Distribution

A genetic algorithm (GA) was developed to optimize a bus transit system serving an irregularly shaped area with a grid street network. The developed objective total cost function was minimized subject to realistic demand distribution and street pattern. The service area in New York City was selected as an example to demonstrate the application of the developed model. With the application of geographic information systems, the street network within the service area was obtained and applied, while the passenger demand information was approximated based on the New York City census report of 1990. The optimal number of bus routes and their locations were found by applying the proposed GA, while the optimal headways of the routes were analytically derived. The method developed here can be applied to dynamic routing buses under various incident situations.

scholarly journals Spatial-Temporal Analysis of Territorial Transformations in the State of Sinaloa Mexico Using Geographic Information Systems

2017 ◽  
Vol 08 (02) ◽  
pp. 171-182
Author(s):  
Wenseslao Plata Rocha ◽  
Gabriela Corrales Barraza ◽  
Geovanna Guadalupe Hinojoza Castro ◽  
Sergio Alberto Monjardin Armenta ◽  
Jose Carlos Beltrán González ◽  
...  
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Temporal Analysis ◽  
Geographic Information ◽  
The State ◽  
Spatial Temporal Analysis

USE OF GEOGRAPHIC INFORMATION SYSTEMS FOR GEOSEISMIC HAZARDS

2007 ◽  
Vol 01 (04) ◽  
pp. 347-360
Author(s):  
SISSY NIKOLAOU
Keyword(s):  
New York ◽  
Information Systems ◽  
Geographic Information Systems ◽  
Hazard Analysis ◽  
Earthquake Hazard ◽  
Seismic Source ◽  
Seismic Wave Propagation ◽  
Geographic Information ◽  
Seismic Source Models ◽  
Source Models

This paper presents integrated Geographic Information Systems (GIS) developed to perform seismic hazard and risk assessment. The systems can perform complex interactive computations which would be difficult and time-consuming to carry out manually, such as: (i) deterministic and probabilistic earthquake hazard analysis; (ii) evaluation of different ground motion and seismic source models; (iii) assessment of the effect of local geology; (iv) generation of design-compatible time histories; and (v) damage assessment of spatially distributed structural systems. An application for the New York City metropolitan area demonstrates that despite the scarcity of recorded data, incomplete knowledge of seismic wave propagation characteristics, and sometimes insufficient geologic data, it is possible to arrive at a rational estimate of the seismic risk potential in a probabilistic manner, combining available information and uncertainties in the GIS environment.

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